dainis-boumber Goto Github PK

aa_cnn

Multi-label CNN for Authorship Attribution

abib

Biased Bagging for Unsupervised Domain Adaptation

academic-kickstart

adam-experiments

Experiments with Adam/AdamW/amsgrad

adaptation-metrics

Adapt Transformer-based language models to new text domains based on Ruder's 2017 paper

amamda

Adversarial Multi-Author Multi-Domain Adaptation

av

authorship verification

av-feature-generator

Feature generator for Authorship Verification problems with pair-wise data

bert-as-service

Mapping a variable-length sentence to a fixed-length vector using BERT model

charrnn

Lasagne implementation flavours for CharRNN

complexity

Complexity estimation project

dainis-boumber

dainis-boumber.github.io

Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes

deepsegment

A sentence segmenter that actually works!

domain-adaptation-kit

This library offers a unified approach to run a number of popular Domain Adaptation methods. It has some Deep Learning, but it is also meant to address the issue with most non-Deep Learning DA being done in Matlab.

domain_adaptability

Measure the adaptability of domains/datasets

domain_adaptation

dstools

Collection of various tools and functions written by me and others that are useful for Data Science.

fastai_dev

dev notebooks (for docs see http://docs.fast.ai and https://github.com/fastai/fastai)

hedwig

PyTorch deep learning models for document classification

hft-cnn

Convolutional Neural Network based on Hierarchical Category Structure for Multi-label Short Text Categorization

hub

🔌 A central repository collecting pre-trained adapter modules

ipyexperiments

jupyter/ipython experiment containers for GPU and general RAM re-use

ivy

The Unified Machine Learning Framework

jdot-palab

jdot domain adaptation modified for baselines by pattern analysis lab

keras-nbsvm

A Keras Implementation of NBSVM for Text Classification

lean-life

Label Efficient Learning From Explanations

longlora

Code and documents of LongLoRA and LongAlpaca

loorls-da

Very simple domain adaptation using leaving one one loss and RLS

mlib

A Machine Learning Library in Python